SIAM Review · 2003 · 18.4K citations · 372 references
Inspired by empirical studies of networked systems such as the Internet,\nsocial networks, and biological networks, researchers have in recent years\ndeveloped a variety of techniques and models to help us understand or predict\nthe behavior of these systems. Here we review developments in this field,\nincluding such concepts as the small-world effect, degree distributions,\nclustering, network correlations, random graph models, models of network growth\nand preferential attachment, and dynamical processes taking place on networks.\n
372
Collective dynamics of ‘small-world’ networks
Duncan J. Watts, Steven H. Strogatz · Nature · 1998 · 42.4K citations
Emergence of Scaling in Random Networks
Albert-Ĺaszló Barabási, Réka Albert · Science · 1999 · 35.7K citations · Full text
Statistical mechanics of complex networks
Réka Albert, Albert-Ĺaszló Barabási · Reviews of Modern Physics · 2002 · 20.2K citations · Full text
The PageRank Citation Ranking : Bringing Order to the Web
Lawrence M. Page, Sergey Brin, Rajeev Motwani et al. · 1999 · 12.6K citations